CN115267641A - Method and system for identifying error abnormity of current transformer in same-tower double-circuit power transmission line - Google Patents
Method and system for identifying error abnormity of current transformer in same-tower double-circuit power transmission line Download PDFInfo
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Abstract
The invention relates to a method and a system for identifying error abnormity of a current transformer in a same-tower double-circuit transmission line, wherein the method comprises the following steps: obtaining historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current from the historical data; constructing a characteristic parameter set based on the multi-order differential values; solving the three-phase relation statistic of each group of current transformers by using a principal component analysis method and a characteristic parameter set; calculating the in-phase relation statistic of each phase of current based on the in-phase amplitude difference and the in-phase amplitude ratio of the multiple groups of current transformers; and judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relation statistic and the in-phase relation statistic. The method calculates the three-phase relation statistic and the in-phase relation statistic through the principal component analysis method and the probability statistical distribution, and realizes the online judgment of the current transformer error in the same-tower double-circuit transmission line according to the three-phase relation statistic and the in-phase relation statistic.
Description
Technical Field
The invention belongs to the technical field of power equipment measurement, and particularly relates to a method and a system for identifying error abnormity of a current transformer in a same-tower double-circuit power transmission line.
Background
A Current Transformer (CT) is an important metering device in an electric power system. The primary winding is connected in series in a main transmission and transformation loop, and the secondary winding is respectively connected with equipment such as a measuring instrument, a relay protection or an automatic device and the like according to different requirements and is used for changing the large current of the primary loop into the small current of the secondary side for the measurement and control protection metering equipment to safely collect. The method is accurate and reliable, and has great significance for safe operation, control protection, electric energy metering and trade settlement of the power system.
The current commonly used CT error detection methods are mainly off-line inspection and on-line inspection. The off-line detection process needs to be carried out for a long time when the mutual inductor and peripheral equipment to be detected have power failure, so that the normal operation of a power grid is greatly influenced, and the dynamic change of the operation error of the mutual inductor to be detected cannot be reflected due to the difference between the working condition during off-line detection and the working condition during on-line operation. In the on-line detection process, although the consistency of relevant working condition conditions during operation is met, and the error of the CT to be detected can be calculated more accurately, the standard mutual inductor needs to be connected in a current state, so that potential safety hazards easily exist, and long-time detection is not suitable. In order to perfect a current transformer error state evaluation system, a current transformer abnormal state evaluation method needs to be established, the abnormal state of the transformer is found in time, the out-of-limit running time of the current transformer error is reduced, and the fairness of electric energy metering is ensured.
In the existing method for identifying the measurement error abnormity of the current transformers in the structure of the same tower and double loops, two ends of two groups of loop wires are respectively connected to two groups of same bus wires, and each phase of the two groups of loop wires is provided with the current transformer.
Disclosure of Invention
In order to realize online identification of error abnormality of a current transformer in a same-tower double-circuit transmission line, the invention provides a method for identifying error abnormality of a current transformer in a same-tower double-circuit transmission line, which comprises the following steps: obtaining historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current from the historical data; constructing a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set; calculating a plurality of in-phase relation statistics of each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of the multiple groups of current transformers; and judging whether a plurality of groups of current transformers in the double-circuit transmission line on the same tower are abnormal or not on line according to the three-phase relation statistics of the plurality of characteristic categories and the plurality of in-phase relation statistics.
In some embodiments of the present invention, the obtaining historical data of currents of multiple groups of current transformers in the same-tower double-circuit transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of a rated current includes: acquiring historical data of currents measured by a plurality of groups of current transformers in a normal operation state in the current transformers with the same tower and double loops; and carrying out differential noise filtering processing on the historical data of the currents measured by the multiple groups of current transformers by adopting first-order difference and second-order difference to obtain multiple-order differential values corresponding to the multiple groups of current transformers.
In some embodiments of the present invention, the solving three-phase relationship statistics of a plurality of feature classes of each group of current transformers by using principal component analysis and feature parameter sets includes: performing singular value decomposition on a plurality of samples constructed by the characteristic parameter set by using a principal component analysis method to obtain a load matrix of principal components of the characteristic parameter set; and calculating the three-phase relation statistic of a plurality of characteristic categories of each group of current transformers corresponding to the characteristic parameter set according to the load matrix of the principal component.
In some embodiments of the invention, the calculating the plurality of in-phase relationship statistics for each phase current based on the in-phase amplitude differences and the in-phase amplitude ratios of the plurality of sets of current transformers comprises: calculating upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and normal distribution of the multiple groups of current transformers; based on the in-phase amplitude ratios of the multiple sets of current transformers, calculating a threshold value of the same-phase amplitude ratio of each phase current; and determining a plurality of in-phase relation statistics of each phase current according to the upper and lower thresholds of the in-phase amplitude difference of each phase current and the threshold of the in-phase amplitude ratio.
Further, the calculating the upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and the normal distribution of the plurality of sets of current transformers includes: calculating in-phase amplitude differences of a plurality of groups of current transformers in different proportion intervals of rated current; based on normal distribution, calculating the mean value and standard deviation of each phase current in different proportion intervals; and calculating the upper and lower thresholds of the same-phase amplitude difference of each phase current according to the mean value and the standard deviation in different proportion intervals.
In the above embodiment, the online determination of whether multiple groups of current transformers in the same-tower double-circuit transmission line are abnormal according to the three-phase relationship statistics of the multiple feature categories and the multiple in-phase relationship statistics includes: constructing a judgment matrix according to the three-phase relation statistics of a plurality of characteristic categories and the in-phase relation statistics; and judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line based on the judgment matrix.
In a second aspect of the present invention, a system for identifying an error anomaly of a current transformer in a same-tower double-circuit transmission line is provided, including: the acquisition module is used for acquiring historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current; the first calculation module is used for constructing a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set; the second calculation module is used for calculating a plurality of in-phase relation statistics of each phase current based on in-phase amplitude difference and in-phase amplitude ratio of a plurality of groups of current transformers; and the judging module is used for judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relation statistics of the plurality of characteristic categories and the plurality of in-phase relation statistics.
In a third aspect of the present invention, there is provided an electronic device comprising: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for identifying the error abnormality of the current transformer in the double-circuit transmission line on the same tower provided by the first aspect of the invention.
In a fourth aspect of the present invention, a computer readable medium is provided, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for identifying an error anomaly of a current transformer in a same-tower double-circuit transmission line provided in the first aspect of the present invention.
The invention has the beneficial effects that:
the method comprises the steps of constructing a mathematical model of unbalance fluctuation of a current transformer for current carrying classification based on PCA, and obtaining a three-phase relation statistic threshold Q of classification current; and acquiring a grading current in-phase relation statistic-an in-phase amplitude difference upper and lower limit threshold F based on a mean square error anomaly detection method. Acquiring a threshold value E of a ratio of the in-phase relation statistic of the graded current to the in-phase amplitude value based on an expert judgment method; and calculating three-phase relation statistic and in-phase relation statistic (in-phase amplitude difference and in-phase amplitude ratio) of the grading current on line, and judging whether the current transformer is out of tolerance or not according to the result that whether the online statistic exceeds a statistic threshold value or not.
Drawings
Fig. 1 is a schematic basic flow chart of a method for identifying an error abnormality of a current transformer in a same-tower double-circuit transmission line according to some embodiments of the present invention;
fig. 2 is a schematic flowchart of a method for identifying an error abnormality of a current transformer in a same-tower double-circuit transmission line according to some embodiments of the present invention;
fig. 3 is a schematic structural diagram of an error abnormality identification system for a current transformer in a same-tower double-circuit transmission line according to some embodiments of the present invention;
fig. 4 is a schematic structural diagram of an electronic device in some embodiments of the invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
Referring to fig. 1 and fig. 2, in a first aspect of the present invention, a method for identifying an error anomaly of a current transformer in a same-tower double-circuit transmission line is provided, including: s100, acquiring historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current from the historical data; s200, constructing a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set; s300, calculating a plurality of in-phase relation statistics of each phase current based on in-phase amplitude difference and in-phase amplitude ratio of a plurality of groups of current transformers; s400, judging whether multiple groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relation statistics of the multiple characteristic categories and the multiple in-phase relation statistics.
It can be understood that the historical data of the currents of the multiple groups of current transformers in the same-tower double-circuit transmission line generally refers to the historical data of the currents of the two groups of current transformers in the same-tower double-circuit transmission line; when the same power tower has multiple power transmission lines, the historical data of the currents of multiple groups of current transformers in the multiple power transmission lines are corresponding to the power transmission lines.
In step S100 of some embodiments of the present invention, the obtaining historical data of currents of multiple groups of current transformers in a same-tower double-circuit power transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of a rated current includes:
s101, obtaining historical data of currents measured by a plurality of groups of current transformers in a current transformer with the same tower and double return lines under a normal operation state; specifically, taking the current transformers with the same tower and double loops as an example, historical data of currents measured by six current transformers in two groups of current transformers in normal operation state in the current transformer result of the same tower and double loops are counted, and the three-phase current amplitude measured by the first group of current transformers is recorded asI 1A ,I 1B ,I 1C The three-phase current amplitude measured by the second group of current transformers is recorded asI 2A ,I 2B ,I 2C 。
S102, carrying out differential noise filtering processing on historical data of currents measured by the multiple groups of current transformers by adopting first-order difference and second-order difference, obtaining multi-order differential values corresponding to the multiple groups of current transformers;
specifically, the first order difference:K ij (t)'=I ij (t)-I ij (t+1)；
second order difference:K ij (t)''=I ij (t)+I ij (t+2)-2*I ij (t+1)；
wherein the content of the first and second substances,I ij (t) Is a time of daytIs first ofiOf groups of current transformersjPhase current amplitude data, T ∈ T, i ∈ 1,2},j∈{A,B,C}，K ij (t)'is a time of daytIs a first timeiOf groups of current transformersjThe phase current amplitude data is a first order difference value,K ij (t)''is a time of daytIs first ofiOf groups of current transformersjThe phase current amplitude data second order difference value. A, B, and C represent each phase current of three-phase currents.
And performing stability inspection on the first-order difference and the second-order difference of each phase current transformer by adopting a unit root inspection method. The statistics were tested by calculating PP.
Wherein, the first and the second end of the pipe are connected with each other,
as an estimator of Newey-West,
the variance is the variance when DF test is carried out in advance;
is the autocovariance of 0 th order, T is the time sequence length, and MSE is the mean square error. Given a significance level of 5%, data were retained with PP test statistics less than the critical table value.
S103, constructing characteristic parameters and models under 20% -50%,50% -80% and 80% -120% of rated ranges by adopting a current-carrying classification method so as to adaptively realize state judgment under different current amplitudes caused by different loads. Then the corresponding data characteristic is obtainedI ij,k (t),K ij (t)',K ij (t)''. Wherein, the first and the second end of the pipe are connected with each other,I ij,k (t) Is a time of daytIs first ofiOf groups of current transformerskOf class rangejThe magnitude data of the phase current,K ij (t)'is a time of daytIs first ofiOf groups of current transformerskOf class rangejThe phase current amplitude data is a first order difference value,K ij (t)''is a time of daytIs first ofiOf groups of current transformerskOf class rangejThe second order difference value of the phase current amplitude data, k belongs to {1,2,3},k=1 represents corresponding data corresponding to current data for 20% -50% of the nominal range of span after preprocessing,k=2 represents corresponding data corresponding to current data for 50% -80% of the nominal range of span after preprocessing,k=3 represents the corresponding data of the current data corresponding to the rated range of 80% -120% after the preprocessing.
In step S200 of some embodiments of the present invention, the solving three-phase relationship statistics of a plurality of feature classes of each group of current transformers by using principal component analysis and feature parameter sets includes: s201, singular value decomposition is carried out on a plurality of samples constructed by the characteristic parameter set by using a principal component analysis method to obtain a load matrix of principal components of the characteristic parameter set;
specifically, two groups of current transformer groups are numbered according to group by group,
is shown asiOf groups of current transformerskOf class rangejTime series data of the phases, total B j1,1 ,B j1,2 ,B j1,3 ,B j2,1 ,B j2,2 ,B j2,3 And six groups of the three-phase relation statistics are calculated according to the six groups of the three-phase relation statistics, a three-phase relation statistics threshold value is obtained, and the abnormal current transformer group is judged.
Then, according to the stable current screened by the pretreatment, extracting current amplitude, first-order difference and second-order difference according to groups and classes as characteristic parameters, and establishing a modeling characteristic parameter set Y belonging to R according to the classes 3×T×3 . Namely: y is i,k =[B A k1, ,B B k1, ,B C k1, ](ii) a Three-dimensional data (Y =3 × T × 3) is expanded in the time-series T direction to obtain (Y) i,k = T × 9). Namely:
s202, calculating three-phase relation statistics of a plurality of characteristic categories of each group of current transformers corresponding to the characteristic parameter set according to the load matrix of the principal component.
Specifically, two sets of mathematical models of three-phase CT measured current, model, are obtained by using Principal Component Analysis (PCA) training data 11 ,Model 12 ,Model 13 ,Model 21 ,Model 22 And Model 23 . X ∈ R for a given sample (n×m) And n and m respectively represent the number of samples and the data dimension, and a mathematical model is constructed by adopting a Principal Component Analysis (PCA).
Performing singular value decomposition on the sample as shown in the following formula:
taking the front P columns of the right singular matrix V to form a load matrix representing the principal component, namely P ∈ R m×p The remaining columns form the loading matrix of the residual subspace, i.e.
，P e Calculating three-phase relation statistic by using the obtained mathematical model parameter matrix containing CT three-phase relation
. WhereiniIs shown asiA current transformer is arranged in the group of current transformers,kis shown askCurrent-like data.
S203. Model is modeled according to the six models 11 ,Model 12 ,Model 13 ,Model 21 ,Model 22 And Model 23 The corresponding limit of the three-phase relationship statistics can be derived:
and determining abnormal three-phase CT by the limitation of the six types of three-phase relation statistics.
In step S300 of some embodiments of the present invention, the calculating a plurality of in-phase relationship statistics for each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of the plurality of sets of current transformers comprises: s301, calculating upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and normal distribution of the multiple groups of current transformers. Further, in step S301, the calculating upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and the normal distribution of the plurality of sets of current transformers includes: s3011, calculating in-phase amplitude differences of multiple groups of current transformers in different proportion intervals of rated current; s3012, calculating the mean value and the standard deviation of each phase current in different proportion intervals based on normal distribution; s3013, calculating upper and lower thresholds of the same-phase amplitude difference of each phase current according to the mean value and the standard deviation in different proportion intervals.
Specifically, the data of the two groups of current transformers are numbered according to the phase class, and the in-phase relation statistic is calculated
。
And
. WhereinE j,k Representing the in-phase amplitude ratio of class k of the j-th phases of the two sets of current transformers,F j,k representing the in-phase amplitude difference of the kth class of the j-th phases of the two groups of current transformers.
In the structure of double circuit on the same tower, because the two ends of the return wire where the two groups of mutual inductors are located are connected to the same bus, namely, the pressure difference of the double return wires is the same, and because of the structure of double circuit on the same tower, the measuring currents of the two groups of mutual inductors are the same under an ideal state, but in an actual environment, because of the influence of factors such as wire materials, the same-phase amplitude difference can meet the normal distribution
,
Is composed ofF j,k Has a mean value ofF j,k Standard deviation of (d). Using a mean square error anomaly detection method, consider when
Or
When it is abnormal, it is an abnormal value.
Calculating upper and lower thresholds (upper and lower limits) of each corresponding in-phase amplitude difference by using the statistical historical data of the double CT in Step1, taking current data of an A phase with a current range of 80-120% as an example, and corresponding data of two groups of current transformers areI 1A,3 ，I 2A,3 ,If the time section of the historical data is T, the historical time
The two corresponding CT data are respectivelyi 1A,3 (t), i 2A,3 (t) Wherein, in the step (A),i 1A,3 (t),i 2A,3 (t)ϵI 2A corresponding in-phase amplitude differencef A,k (t)=i 1A,3 (t)-i 2A,3 (t). According to the step S301
，
And obtaining an upper threshold and a lower threshold of the phase A:
s302, calculating a threshold value of the in-phase amplitude ratio of each phase current based on the in-phase amplitude ratios of the multiple groups of current transformers;
as can be appreciated, the first and second components,E j,k reflecting the correlation between the same phases of the two groups of current transformers on the same outgoing line. Obtaining corresponding data at all times according to statistical historical dataE j,k Obtaining correspondences by means of expert empirical calculationThreshold valueL j,k When is coming into contact withL j,k＜ E j,k When it is, it is regarded as an abnormal value.
Calculating the threshold value of each corresponding in-phase amplitude ratio by using the historical data counted in the step S301, taking the phase A as an example, taking the current data of which the current range is 80% -120% as an example, and calculating the threshold value at the moment
The two corresponding CT data are respectivelyi 1A,3 (t)，i 2A,3 (t) The in-phase amplitude ratio at the corresponding time is
. Obtaining corresponding threshold value by the same-phase amplitude ratio corresponding to the T-group data and by the method of expert judgmentL A,k . In the same way, threshold data corresponding to the B phase and the C phase are obtainedL B,k， L C,k 。
And S303, determining a plurality of in-phase relation statistics of each phase current according to the upper and lower thresholds of the in-phase amplitude difference of each phase current and the threshold of the in-phase amplitude ratio. And (3) integrating S301 and S302 to obtain the threshold corresponding to each phase type:
in S400 of the foregoing embodiment, the online determination of whether multiple sets of current transformers in the double-circuit transmission line on the same tower are abnormal according to the three-phase relationship statistics of the multiple feature categories and the multiple in-phase relationship statistics includes: s401, constructing a judgment matrix according to the three-phase relation statistic of a plurality of characteristic categories and the in-phase relation statistic; s402, on the basis of the judgment matrix, whether multiple groups of current transformers in the same-tower double-circuit power transmission line are abnormal or not is judged on line.
Specifically, according to the on-line measurement data of the current transformers in the same-tower double-circuit structure, the measurement current of the first group of current transformers isI 1A ',I 1B ',I 1C ',The measured current of the second group of current transformers isI 2A ',I 2B ',I 2C '. And judging the current range of the corresponding current. Setting the range of the currentkIs the range of the current range (current rated current) of the current, and belongs to {1,2,3 }. According to the correspondencekValue, selecting a statistic feature threshold;Q 1k ,Q 2k ,P Ak ,P Bk ,P Ck ;
calculating three-phase relation statistics of two groups of current transformers according to the processQ 1 ',Q 2 'And in-phase relationship statisticsP A ' =[k A ',L A '],P B '=[k B ',L B '],P C '=[k C ',L C ']. The state of each CT of the two sets of CTs is determined, taking the mutual a sensor of the first set of current transformers as an example, the determination method is shown in the following table:
TABLE 1 judgment of in-phase relationship abnormal state based on in-phase relationship statistics
TABLE 2 judge each CT State (first set of A phases) based on in-phase, three-phase relationship statistics
Example 2
Referring to fig. 3, in a second aspect of the present invention, there is provided a system 1 for identifying an error abnormality of a current transformer in a same-tower double-circuit transmission line, including: the acquisition module 11 is configured to acquire historical data of currents of multiple groups of current transformers in the same-tower double-circuit power transmission line, and extract corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current from the historical data; the first calculation module 12 is configured to construct a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set; the second calculation module 13 is configured to calculate a plurality of in-phase relationship statistics of each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of the plurality of groups of current transformers; and the judging module 14 is configured to judge whether multiple groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relationship statistics of the multiple feature categories and the multiple in-phase relationship statistics.
Further, the obtaining module 11 includes: the acquisition unit is used for acquiring historical data of currents measured by a plurality of groups of current transformers in a normal operation state in the current transformers with the same tower and double return lines; and the filtering unit is used for carrying out differential noise filtering processing on the historical data of the currents measured by the multiple groups of current transformers by adopting first-order difference and second-order difference to obtain multiple-order differential values corresponding to the multiple groups of current transformers.
Example 3
Referring to fig. 4, in a third aspect of the present invention, there is provided an electronic apparatus comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of the invention in the first aspect.
The electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following devices may be connected to the I/O interface 505 in general: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; a storage device 508 including, for example, a hard disk; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of the embodiments of the present disclosure. It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more computer programs which, when executed by the electronic device, cause the electronic device to:
computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, python, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (10)
1. A method for identifying error abnormity of a current transformer in a same-tower double-circuit transmission line is characterized by comprising the following steps: obtaining historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line, and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current from the historical data;
constructing a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set;
calculating a plurality of in-phase relation statistics of each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of the plurality of groups of current transformers;
and judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relation statistics of the plurality of characteristic categories and the plurality of in-phase relation statistics.
2. The method for identifying the error abnormality of the current transformers in the same-tower double-circuit transmission line according to claim 1, wherein the obtaining of historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit transmission line and the extracting of corresponding multi-order difference values of each group of current transformers in different proportion intervals of rated current comprises:
acquiring historical data of currents measured by a plurality of groups of current transformers in the same-tower double-circuit current transformers in a normal operation state;
and carrying out differential noise filtering on historical data of currents measured by the multiple groups of current transformers by adopting first-order difference and second-order difference to obtain multiple-order differential values corresponding to the multiple groups of current transformers.
3. The method for identifying the error abnormality of the current transformers in the double-circuit transmission line on the same tower as the claim 1, wherein the step of solving the three-phase relation statistic of the plurality of characteristic categories of each group of the current transformers by using a principal component analysis method and a characteristic parameter set comprises the following steps:
performing singular value decomposition on a plurality of samples constructed by the characteristic parameter set by using a principal component analysis method to obtain a load matrix of principal components of the characteristic parameter set;
and calculating three-phase relation statistics of a plurality of characteristic categories of each group of current transformers corresponding to the characteristic parameter set according to the load matrix of the principal component.
4. The method for identifying the error abnormality of the current transformers in the double-circuit transmission line on the same tower as the claim 1, wherein the step of calculating a plurality of in-phase relation statistics of each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of a plurality of groups of current transformers comprises the steps of:
calculating upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and normal distribution of the multiple groups of current transformers;
calculating a threshold value of the in-phase amplitude ratio of each phase of current based on the in-phase amplitude ratios of the multiple groups of current transformers;
and determining a plurality of in-phase relation statistics of each phase current according to the upper and lower thresholds of the in-phase amplitude difference of each phase current and the threshold of the in-phase amplitude ratio.
5. The method for identifying the error abnormality of the current transformers in the double-circuit transmission line on the same tower as in claim 4, wherein the step of calculating the upper and lower thresholds of the in-phase amplitude difference of each phase current based on the in-phase amplitude difference and the normal distribution of the multiple groups of current transformers comprises the following steps:
calculating the in-phase amplitude difference of a plurality of groups of current transformers in different proportion intervals of rated current;
based on normal distribution, calculating the mean value and standard deviation of each phase current in different proportion intervals;
and calculating the upper and lower thresholds of the same-phase amplitude difference of each phase current according to the mean value and the standard deviation in different proportion intervals.
6. The method for identifying the error abnormality of the current transformers in the same-tower double-circuit transmission line according to any one of claims 1 to 5, wherein the online judgment of whether a plurality of groups of current transformers in the same-tower double-circuit transmission line are abnormal or not according to the three-phase relationship statistics of the plurality of feature classes and the plurality of in-phase relationship statistics comprises:
constructing a judgment matrix according to the three-phase relation statistics of a plurality of characteristic categories and the in-phase relation statistics;
and judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line based on the judgment matrix.
7. The utility model provides a current transformer error abnormity identification system among double circuit transmission line on same tower which characterized in that includes:
the acquisition module is used for acquiring historical data of currents of a plurality of groups of current transformers in the same-tower double-circuit power transmission line and extracting corresponding multi-order differential values of each group of current transformers in different proportion intervals of rated current;
the first calculation module is used for constructing a characteristic parameter set based on corresponding multi-order differential values of a plurality of groups of current transformers in different proportion intervals of rated current; solving three-phase relation statistics of a plurality of characteristic categories of each group of current transformers by using a principal component analysis method and a characteristic parameter set;
the second calculation module is used for calculating a plurality of in-phase relation statistics of each phase current based on the in-phase amplitude difference and the in-phase amplitude ratio of the multiple groups of current transformers;
and the judging module is used for judging whether a plurality of groups of current transformers in the same-tower double-circuit power transmission line are abnormal on line according to the three-phase relation statistics of the plurality of characteristic categories and the plurality of in-phase relation statistics.
8. The system for identifying error abnormality of the current transformer in the same-tower double-circuit power transmission line according to claim 7, wherein the obtaining module comprises:
the acquisition unit is used for acquiring historical data of currents measured by a plurality of groups of current transformers in the current transformers of the same tower double-circuit line under the normal operation state;
and the filtering unit is used for carrying out differential noise filtering on the historical data of the currents measured by the multiple groups of current transformers by adopting first-order difference and second-order difference to obtain multiple-order differential values corresponding to the multiple groups of current transformers.
9. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for current transformer error anomaly identification in a same-tower double-circuit power transmission line according to any one of claims 1 to 6.
10. A computer-readable medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for identifying an error anomaly of a current transformer in a same-tower double-circuit transmission line according to any one of claims 1 to 6.
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